Senior Python Engineer

Responsibilities

• Take ownership of complex backend systems end-to-end - from scoping and architecture to high-quality, reliable delivery
• Design and build robust, scalable APIs and distributed systems that power our products and deliver exceptional performance
• Collaborate closely with Product, Frontend, and Design teams to translate product ideas into well-architected backend solutions
• Push the boundaries of what's possible with modern backend technologies, driving innovation in both architecture and developer experience
• Contribute to evolving our backend architecture, infrastructure, and developer tooling to support rapid iteration at scale
• Proactively identify opportunities to improve system performance, reliability, and developer experience - and drive those initiatives through to execution

Requirements

• 5+ years of professional backend engineering experience, ideally in fast-paced startup or high-growth environments
• Deep expertise in Python and FastAPI , with a proven track record of building and scaling production systems
• Experience designing and implementing APIs (REST, GraphQL, or gRPC) that power user-facing products
• Strong experience working with SQL databases (e.g. PostgreSQL), including schema design, query optimization, and data modeling for production systems
• Familiarity with cloud-native architectures, ideally on GCP (e.g. Cloud Functions, Cloud Tasks, Firestore)
• Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code
• Familiarity with Vertex AI and ML specific infrastructure
• Strong communication skills and a high sense of ownership - able to operate with autonomy while staying aligned with team goals
• Some markers of excellence, which could also be non-work related, like having a high FIDE rating
• Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness
• Tech Stack
• Languages: Python, TypeScript
• Backend: GCP, Vertex AI, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Clickhouse
• AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.
• Bonus Points
• You've personally built and scaled a system (e.g. side project, startup, open-source) that handled significant traffic or complexity, and learned real lessons from it
• Background working on AI products or data-heavy applications
• Academic background in Computer Science or a related technical field
• Experience in starting a company or working at a top-tier high-growth startup

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